Lukas Kades
Data Scientist
Freiburg im Breisgau, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolLukas Kades is a data scientist with nine years of experience combining rigorous probabilistic machine learning and statistical modeling with creative problem solving, currently working at BASF. He holds a PhD in theoretical and mathematical physics and two M.Sc. degrees (Applied Computer Science and Physics), which underpins his ability to translate complex theory into practical ML and NLP solutions for protein engineering. His background spans academia and industry—from postdoctoral NLP research to building probabilistic simulation frameworks and software for data generation—demonstrating comfort across experimental, modeling, and production contexts. Based in Freiburg, Germany, he thrives in interdisciplinary, international teams and brings a knack for applying advanced probabilistic methods to real-world biological and engineering problems. An understated strength is his track record of turning rigorous academic research into deployable tools that address domain-specific challenges.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Julius-Maximilians-Universität WürzburgDoctor of Philosophy - PhD, Theoretische und mathematische Physik, Doctor of Philosophy - PhD, Theoretische und mathematische Physik at Ruprecht-Karls-Universität Heidelberg
Github Skills (7)
graph6
pytorch6
deep-learning6
graph-convolutional-networks6
graph-neural-network5
geometric-deep-learning4
neural-network4
Programming languages (1)
Github contributions (5)
statphysandml/LatticeModelSimulationLib
Jan 2021 - Jun 2024
Contributions:42 pushes, 6 branches, 1 comment in 3 years 4 months
statphysandml/MCMCSimulationLib
Dec 2020 - Jun 2024
Contributions:88 pushes, 10 branches, 1 comment in 3 years 6 months
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